Knowledge Exploration in Life Science Informatics
Knowledge Exploration in Life Science Informatics

Author: Jesús A. López

Publisher: Springer

Published: 2005-01-27

Total Pages: 258

ISBN-13: 3540304789

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This volume of the Springer Lecture Notes in Computer Science series contains the contributions presented at the International Symposium on Knowledge Exploration in Life Science Informatics (KELSI 2004) held in Milan, Italy, 25-26 November 2004. The two main objectives of the symposium were: • To explore the symbiosis between information and knowledge technologies and v- ious life science disciplines, such as biochemistry, biology, neuroscience, medical research, social sciences, and so on. • To investigate the synergy among different life science informatics areas, including cheminformatics,bioinformatics,neuroinformatics,medical informatics,systems - ology, socionics, and others. Modern life sciences investigate phenomena and systems at the level of molecules, cells, tissues, organisms, and populations. Typical areas of interest include natural e- lution, development,disease, behavior,cognition,and consciousness.This quest is g- eratinganoverwhelmingandfast-growingamountofdata,information,andknowledge, re?ecting living systems at different levels of organization. Future progress of the life sciences will depend on effective and ef?cient management, sharing, and exploitation of these resources by computational means.

Big Data Analysis: New Algorithms for a New Society
Big Data Analysis: New Algorithms for a New Society

Author: Nathalie Japkowicz

Publisher: Springer

Published: 2015-12-16

Total Pages: 334

ISBN-13: 3319269895

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This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes
Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes

Author:

Publisher: Elsevier

Published: 2011-10-13

Total Pages: 533

ISBN-13: 0080475329

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Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes stems from the experience of the EC funded project DEMETRA. This project combined institutes involved in the regulatory process of pesticides, industries of the sector and scientists to develop and offer original software for the prediction of ecotoxicity of pesticides. Then to be used within the dossier preparation for pesticide registration. The basis of this book is more than three-years of research activities, discussions, studies and successful models. This experience represents a useful example not only for the case of pesticides, but also for the prediction of ecotoxicity and toxicity in general. QSAR is used to link a given property of a chemical compound with some features related to its structure. The theoretical toxicological, chemical and information technology aspects will be treated considering the regulatory issues. Innovative hybrid systems will be described, for the toxicity prediction of pesticides and related compounds, directly useful for pesticide evaluation within the Dossier preparation for pesticide registration. Five endpoints will also be discussed, addressing issues as standardisation, verification, validation, accessibility, reproducibility.The driving force for Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes is that all the issues of concern for end-users are analysed, discussed and solutions proposed further. An innovative feature is that, in order to offer powerful QSAR models, the book discusses and reports on integrated QSAR models, combined into a unique hybrid system.* Assesses the needs of regulators for pesticide approval and how these needs affect QSAR models* Combines theoretical discussion with practical examples, including five worked examples of hybrid systems* Refers to original software available through the internet

Latest Advances in Robot Kinematics
Latest Advances in Robot Kinematics

Author: Jadran Lenarcic

Publisher: Springer Science & Business Media

Published: 2012-05-19

Total Pages: 468

ISBN-13: 9400746202

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This book is of interest to researchers inquiring about modern topics and methods in the kinematics, control and design of robotic manipulators. It considers the full range of robotic systems, including serial, parallel and cable driven manipulators, both planar and spatial. The systems range from being less than fully mobile to kinematically redundant to overconstrained. In addition to recognized areas, this book also presents recent advances in emerging areas such as the design and control of humanoids and humanoid subsystems, and the analysis, modeling and simulation of human body motions, as well as the mobility analysis of protein molecules and the development of machines which incorporate man.

Knowledge Discovery in Life Science Literature
Knowledge Discovery in Life Science Literature

Author: Eric G. Bremer

Publisher: Springer Science & Business Media

Published: 2006-03-23

Total Pages: 159

ISBN-13: 3540328092

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This book constitutes the refereed proceedings of the International Workshop on Knowledge Discovery in Life Science Literature, KDLL 2006, held in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The 12 revised full papers presented together with two invited talks were carefully reviewed and selected for inclusion in the book. The papers cover all topics of knowledge discovery in life science data.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Author: Andreas Holzinger

Publisher: Springer

Published: 2014-06-17

Total Pages: 373

ISBN-13: 3662439689

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One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Science & Technology on Bio-hylic and Biomass Resources in China: A Roadmap to 2050
Science & Technology on Bio-hylic and Biomass Resources in China: A Roadmap to 2050

Author: Xinshi Zhang

Publisher: Springer Science & Business Media

Published: 2010-08-09

Total Pages: 198

ISBN-13: 3642053408

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As one of the eighteen field-specific reports comprising the comprehensive scope of the strategic general report of the Chinese Academy of Sciences, this sub-report addresses long-range planning for developing science and technology in the field of bio-hylic and biomass resources. They each craft a roadmap for their sphere of development to 2050. In their entirety, the general and sub-group reports analyze the evolution and laws governing the development of science and technology, describe the decisive impact of science and technology on the modernization process, predict that the world is on the eve of an impending S&T revolution, and call for China to be fully prepared for this new round of S&T advancement. Based on the detailed study of the demands on S&T innovation in China's modernization, the reports draw a framework for eight basic and strategic systems of socio-economic development with the support of science and technology, work out China's S&T roadmaps for the relevant eight basic and strategic systems in line with China's reality, further detail S&T initiatives of strategic importance to China's modernization, and provide S&T decision-makers with comprehensive consultations for the development of S&T innovation consistent with China's reality. Supported by illustrations and tables of data, the reports provide researchers, government officials and entrepreneurs with guidance concerning research directions, the planning process, and investment. Founded in 1949, the Chinese Academy of Sciences is the nation's highest academic institution in natural sciences. Its major responsibilities are to conduct research in basic and technological sciences, to undertake nationwide integrated surveys on natural resources and ecological environment, to provide the country with scientific data and consultations for government's decision-making, to undertake government-assigned projects with regard to key S&T problems in the process of socio-economic development, to initiate personnel training, and to promote China's high-tech enterprises through its active engagement in these areas.

Knowledge-Based Intelligent Information and Engineering Systems
Knowledge-Based Intelligent Information and Engineering Systems

Author: Rajiv Khosla

Publisher: Springer Science & Business Media

Published: 2005-08-30

Total Pages: 1473

ISBN-13: 3540288961

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Annotation The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684constitute the refereed proceedings of the 9th International Conferenceon Knowledge-Based Intelligent Information and Engineering Systems, KES2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected fromnearly 1400 submissions. The papers present a wealth of original researchresults from the field of intelligent information processing in thebroadest sense; topics covered in the first volume are intelligentdesign support systems, data engineering, knowledge engineering andontologies, knowledge discovery and data mining, advanced networkapplication, approaches and methods of security engineering, chancediscovery, information hiding and multimedia signal processing, softcomputing techniques and their applications, intelligent agenttechnology and applications, smart systems, knowledge - based interfacesystems, intelligent information processing for remote sensing, intelligent human computer interaction systems, experience managementand knowledge management, network (security) real-time and faulttolerant systems, advanced network application and real-time systems, and intelligent watermarking algorithms.